Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 1.3B/5.7B/6.7B/33B | 8B/70B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 16k | 8k |
| Overview | ||
| Company | DeepSeek | Meta |
| Release date | Nov 2 2023 | Apr 18 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek CodervsClaude Haiku 5.5LLaMA 3 (8B/70B)vsClaude Haiku 5.5DeepSeek CodervsGPT-6.1 SolLLaMA 3 (8B/70B)vsGPT-6.1 SolDeepSeek CodervsGemini 4 ArgonLLaMA 3 (8B/70B)vsGemini 4 ArgonDeepSeek CodervsGrok 4.7LLaMA 3 (8B/70B)vsGrok 4.7DeepSeek CodervsMistral Large 4LLaMA 3 (8B/70B)vsMistral Large 4DeepSeek CodervsKimi K3LLaMA 3 (8B/70B)vsKimi K3Frequently asked questions
DeepSeek Coder and LLaMA 3 (8B/70B) don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder shipped 168 days before LLaMA 3 (8B/70B), so benchmark comparisons should account for the intervening progress.
DeepSeek Coder has 1.3B/5.7B/6.7B/33B parameters, while LLaMA 3 (8B/70B) has 8B/70B. Context windows are 16k (DeepSeek Coder) vs 8k (LLaMA 3 (8B/70B)).
Direct benchmark comparisons are unavailable — DeepSeek Coder and LLaMA 3 (8B/70B) don't publish scores on any of the same benchmarks.